An Exploration of Artificial Intelligence (AI) Integration with Real-Time Three 3-Dimensional Holography to Enhance Visual Quality, Optimize Processing Efficiency, and Facilitate Interactive Applications
Article Sidebar
Main Article Content
Abstract
This paper explores the integration of artificial intelligence (AI) with real-time 3D holography to enhance visual quality, optimize processing, and enable interactive applications. AI-driven holography significantly improves rendering, object recognition, and user interaction. Recent advances show potential in healthcare, education, and entertainment. This study synthesizes current research on AI-powered hologram generation and highlights the primary challenges and future directions. The focus is on utilizing AI to generate high-quality, interactive holograms that respond dynamically to user inputs. Advances in AI and holography enable new, immersive experiences across fields like entertainment, education, and healthcare. In graphics, the abstract contains a single, concise, pictorial, and Visual summary of the findings of the main articles. It will occur either as the concluding figure from the piece or a figure, especially an idea to capture the content of the articles for readers at a single glance. They were previously drawn, painted, and designed, and the stone building was created by hand without the use of any tools. Present with the help of technology devices like photography, and computer technology we can design as per our interest like MATLAB software. The coming generation we going touch screen displays like hologram 3d graphics. A new method we can use is known as Tensor holography, Holograms could be produced using smartphone software that can be used for virtual reality, 3D printing, medical imaging, and other uses.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
How to Cite
References
Gartner, 2018. Gartner Says the Internet of Things Installed Base Will Grow. https://www.gartner.com/en/newsroom/press-releases/2018-01-09-gartner-says-worldwide-iot-security-spending-to-reach-1-point-5-billion-in-2018
L. T. Yang, B. Di Martino, and Q. Zhang. "Internet of Everything," Mobile Information Systems, vol. 2017, 201.
DOI: https://doi.org/10.1155/2017/4859645
L. T. Yang, B. Di Martino, and Q. Zhang. "Internet of Everything," Mobile Information Systems, vol. 2017, 201.
DOI: https://doi.org/10.1155/2017/4859645
F. Hassan, A. R. Khan, and S. A. Madani. Internet of Things: Challenges, Advances, and Applications. Chapman & Hall/CRC Computer and Information Science Series, CRC Press, 2017. DOI unavailable. Link: https://www.routledge.com/Internet-of-Things-Challenges-Advances-and-Applications/Hassan-Khan-Madani/p/book/9781138554608
Steven Heller and Seymour Chwast. Photo Fashion: From Victorian to New Century. Abrams, 2011. DOI unavailable. Link: https://www.abramsbooks.com/product/photo-fashion_9780810982686/
David Noonan, Peter Mountney, Daniel Elson, Ara Darzi, and Guang-Zhong Yang. A Stereoscopic Fibroscope for Camera Motion and 3D Depth Recovery During Minimally Invasive Surgery. In proc ICRA 2009, pp. 4463–4468. Link: http://www.doc.ic.ac.uk/~pmountne/publications/ICRA%202009.pdf
E. Cuche, P. Marquet, and C. Depeursinge. "Simultaneous amplitude and quantitative phase-contrast microscopy by numerical reconstruction of Fresnel off-axis holograms," Applied Optics, 38, 6994-7001 (1999). DOI: https://doi.org/10.1364/AO.38.006994
Etienne Cuche, Pierre Marquet, and Christian Depeursinge. "Simultaneous amplitude-contrast and quantitative phase-contrast microscopy by numerical reconstruction of Fresnel off-axis holograms," Applied Optics, vol. 38, no. 34, December 1, 1999, pp. 6994–7001. DOI: https://doi.org/10.1364/AO.38.006994
Appel, A. (1968). A few techniques for gadget rendering of solids. AFIPS 1968 Spring Joint Computer Convention, vol. 32, pp. 37–45.
Steven Heller and Seymour Chwast. Photo Fashion: From Victorian to New Century. Abrams, 2011.
DOI unavailable. Link: https://www.abramsbooks.com/product/photo-fashion_9780810982686/
I. H. Witten and E. Frank. Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann, 2016. DOI unavailable. Link: https://www.elsevier.com/books/data-mining/witten/978-0-12-804291-5
Google Now, Siri, and Cortana. Intelligent digital personal assistants.
Klumpp, M. Artificial Divide: The New Challenge of Human-Artificial Performance in Logistics. In Innovative Produkte und Dienstleistungen in der Mobilität; Proff, H., Fojcik, T.M., Eds.; Springer Gabler: Heidelberg/Berlin, Germany, 2018, pp. 583–593. DOI: https://doi.org/10.1007/978-3-658-20718-1_39
Silver, D., Schrittwieser, J., Smionyan, K., et al. Mastering the game of Go without human knowledge. Nature 2018, 550, 354–359. DOI: https://doi.org/10.1038/nature24270
G. Fortino and P. Trunfio. Internet of Things based on Smart Objects: Technology, Middleware, and Applications. Springer, 2014. DOI: https://doi.org/10.1007/978-3-319-00491-4
Abina, M., Pavna, S. J., Shetty, M., & Heera, S. S. (2020). Virtual Reality based Hologram for Emergency Situation. In International Journal of Recent Technology and Engineering (IJRTE) (Vol. 9, Issue 1, pp. 1075–1079). DOI: https://doi.org/10.35940/ijrte.a1917.059120
S, G., D, M., & Kalaiselvi, K. (2019). An Effective feature set in Quality Estimation of Natural Scene Statistics Images. In International Journal of Innovative Technology and Exploring Engineering (Vol. 2, Issue 9, pp. 2881–2888). DOI: https://doi.org/10.35940/ijitee.b7899.129219
Mirra, K. B., Pooja, P., Ranchani, S., & kumari, R. R. (2020). Fruit Quality Analysis using Image Processing. In International Journal
of Engineering and Advanced Technology (Vol. 9, Issue 5, pp. 88–91). DOI: https://doi.org/10.35940/ijeat.e9309.069520